Results 141 to 150 of about 7,343,069 (347)
On‐Chip Photonic Neural Network Architectures
This review presents a comprehensive overview of on‐chip photonic neural network architectures, covering key photonic building blocks, representative network types, and emerging applications. Recent advances, implementation challenges, and future directions are examined, highlighting the potential of integrated photonics to enable ultrafast, energy ...
Seokjin Hong +7 more
wiley +1 more source
We present a Forney-style factor graph representation for the class of multivariate autoregressive models with exogenous inputs, and we propose an online Bayesian parameter-identification procedure based on message passing within this graph.
Tim N. Nisslbeck, Wouter M. Kouw
doaj +1 more source
Harmonic Analysis With Probabilistic Graphical Models.
[TODO] Add abstract here.
Christopher Raphael, Josh Stoddard
openaire +2 more sources
Learning undirected graphical models from multiple datasets with the generalized non-rejection rate
Learning graphical models from multiple datasets constitutes an appealing approach to learn transcriptional regulatory interactions from microarray data in the field of molecular biology.
ROVERATO, ALBERTO, R. Caselo
core
Disordered plasmonic metasurfaces enable advanced control over light scattering through disorder engineering. A theoretical model based on multiple scattering theory is developed to predict the coherent reflection and transmission of light from disordered metasurfaces with arbitrary pair correlations.
Jialin Hu, Kevin Vynck
wiley +1 more source
This paper describes Mateda-2.0, a MATLAB package for estimation of distribution algorithms (EDAs). This package can be used to solve single and multi-objective discrete and continuous optimization problems using EDAs based on undirected and directed ...
Roberto Santana +7 more
doaj
Assessing transcriptomic heterogeneity of single-cell RNASeq data by bulk-level gene expression data
Background Single-cell RNA sequencing (sc-RNASeq) data illuminate transcriptomic heterogeneity but also possess a high level of noise, abundant missing entries and sometimes inadequate or no cell type annotations at all.
Khong-Loon Tiong +2 more
doaj +1 more source
An AI‐powered, robot‐assisted framework automatically produces, images, and analyzes 3D tumor spheroids to evaluate drug efficacy. Integrated modules handle spheroid formation, live/dead staining, brightfield imaging, and automated image analysis, including spheroid segmentation, viability and metrics to assess the drug treatment efficacy. The workflow
Dalia Mahdy +13 more
wiley +1 more source
Fast Wasserstein rates for estimating probability distributions of probabilistic graphical models [PDF]
Daniel Bartl, Stephan Eckstein
openalex +1 more source
This article presents dielectric elastomer switch (DES) materials, based on composite thin films. Alignment of graphite flakes due to their physical confinement within the thin films lead to much stronger piezoresistive responses than bulk composites, while their durability exceeds that of conventional liquid‐based DES materials.
Lingyu Liu +3 more
wiley +1 more source

